System and method for detecting abnormal values of parameters related to vehicle traction/drift data

The invention provides a system and a method for detecting abnormal values of parameters related to vehicle traction/drift data. A method of identifying abnormal values of a parameter associated with vehicle traction/drift compensation may include receiving fleet data from a plurality of vehicles, the fleet data including traction/drift steering data associated with the plurality of vehicles; processing the pull/drift steering data to generate scrubbed pull/drift steering data; and employing a machine learning module to define, for each of a plurality of respective different vehicle classifications, an anomalous value threshold for comparison with the cleaned traction/drift steering data to identify parameter anomalous values, and identify the parameter anomalous values within each vehicle classification based on the comparison. 本公开提供了"检测关于车辆牵引/漂移数据的参数异常值的系统和方法"。一种识别与车辆牵引/漂移补偿相关联的参数异常值的方法可以包括：从多个车辆接收车队数据，所述车队数据包括与所述多个车辆相关联的牵引/漂移转向数据；处理所述牵引/漂移转向数据以生成经清理的牵引/漂移转向数据；以及采用机器学习模块，以针对多个相应的不同车辆分类中的每一者定义用于与所述经清理的牵引/漂移转